Case studies

Credit Card Customers Segmentation

A credit card company wishes to understand its customer behavior so to have an enriched customer profile by having intelligent KPI’s. The idea is to apply advanced algorithms like factor and cluster analysis for data reduction and customer segmentation based on the behavioral data.

Proactive Attrition Management

A wireless telecom companies wants to reduce customer churn by developing a proactive churn management model. The idea is to build a logistic regression based predictive model to develop an incentive plan for enticing would-be churners to remain with the company.

Predicting Loan Default

A bank would like to build credit risk model (application score card using PD models) to accept/ reject applications for loans. Also it wants to understand the key drivers for default or delinquency.

Key Drivers for Customer credit card spending

The objective of this case study is to understand what’s driving the total spend of credit card(Primary Card + Secondary card) and identify the key spend drivers . This will require candidates to apply OLS/ linear regression and follow end-to-end model building process and help set the credit limit and designing new product offerings.

Time Series Forecasting

Use time series analysis to forecast the outbound passenger movement for next few quarters.

Sentiment Analysis

Objective of this analysis is to obtain data from Twitter and check how the sentiment varies by country for a particular brand/keyword/company.

Social Media Analytics Case Study

Objective of this analysis is to obtain the data from social media platforms like Twitter/Facebook/Youtube etc and perform different analysis using text mining and Machine learning techniques